Sarah E. Morgan

4.0k total citations · 1 hit paper
26 papers, 957 citations indexed

About

Sarah E. Morgan is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Psychiatry and Mental health. According to data from OpenAlex, Sarah E. Morgan has authored 26 papers receiving a total of 957 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 7 papers in Experimental and Cognitive Psychology and 7 papers in Psychiatry and Mental health. Recurrent topics in Sarah E. Morgan's work include Functional Brain Connectivity Studies (16 papers), Mental Health Research Topics (7 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Sarah E. Morgan is often cited by papers focused on Functional Brain Connectivity Studies (16 papers), Mental Health Research Topics (7 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Sarah E. Morgan collaborates with scholars based in United Kingdom, United States and Netherlands. Sarah E. Morgan's co-authors include Edward T. Bullmore, Alex W. Chin, Artem A. Bakulin, Donatas Zigmantas, Dassia Egorova, Akshay Rao, Mark W. B. Wilson, Petra E. Vértes, Philip McGuire and Jakob Seidlitz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Neuroscience.

In The Last Decade

Sarah E. Morgan

24 papers receiving 953 citations

Hit Papers

Cortical patterning of abnormal morphometric similarity i... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sarah E. Morgan United Kingdom 13 421 226 162 161 151 26 957
Peter Neu Germany 24 444 1.1× 182 0.8× 225 1.4× 376 2.3× 46 0.3× 67 1.7k
André Pampel Germany 23 302 0.7× 67 0.3× 85 0.5× 105 0.7× 322 2.1× 66 1.3k
Gabriel A. Devenyi Canada 26 714 1.7× 59 0.3× 87 0.5× 304 1.9× 674 4.5× 86 2.0k
Hannah Dickson United Kingdom 19 189 0.4× 75 0.3× 88 0.5× 340 2.1× 55 0.4× 43 1.0k
T. Lancaster United Kingdom 20 306 0.7× 55 0.2× 68 0.4× 194 1.2× 81 0.5× 72 1.2k
Evgeniya Kirilina Germany 22 783 1.9× 76 0.3× 164 1.0× 90 0.6× 807 5.3× 53 1.8k
G. Ulrich Germany 21 450 1.1× 59 0.3× 121 0.7× 236 1.5× 29 0.2× 83 1.1k
Shi-Kai Liu China 20 186 0.4× 269 1.2× 76 0.5× 276 1.7× 22 0.1× 54 1.4k
Peter Pieperhoff Germany 15 1.2k 3.0× 46 0.2× 274 1.7× 214 1.3× 350 2.3× 22 1.9k
Mahesh Menon Canada 28 1.0k 2.5× 68 0.3× 677 4.2× 1.7k 10.6× 136 0.9× 81 2.6k

Countries citing papers authored by Sarah E. Morgan

Since Specialization
Citations

This map shows the geographic impact of Sarah E. Morgan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sarah E. Morgan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah E. Morgan more than expected).

Fields of papers citing papers by Sarah E. Morgan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah E. Morgan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sarah E. Morgan. The network helps show where Sarah E. Morgan may publish in the future.

Co-authorship network of co-authors of Sarah E. Morgan

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah E. Morgan. A scholar is included among the top collaborators of Sarah E. Morgan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sarah E. Morgan. Sarah E. Morgan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Montagnese, Marcella, et al.. (2025). Structural similarity networks reveal brain vulnerability in dementia. Alzheimer s & Dementia. 21(12). e70973–e70973.
3.
Bethlehem, Richard A. I., Ágoston Mihalik, Jakob Seidlitz, et al.. (2025). Reduced brain structural similarity is associated with maturation, neurobiological features, and clinical status in schizophrenia. Nature Communications. 16(1). 8745–8745. 1 indexed citations
4.
Dorfschmidt, Lena, et al.. (2024). Structural MRI of brain similarity networks. Nature reviews. Neuroscience. 26(1). 42–59. 12 indexed citations
6.
Seidlitz, Jakob, Varun Warrier, Richard A. I. Bethlehem, et al.. (2023). Robust estimation of cortical similarity networks from brain MRI. Nature Neuroscience. 26(8). 1461–1471. 40 indexed citations
7.
Diederen, Kelly, Oscar Giles, Helen Duncan, et al.. (2023). Semantic Speech Networks Linked to Formal Thought Disorder in Early Psychosis. Schizophrenia Bulletin. 49(Supplement_2). S142–S152. 9 indexed citations
8.
Dorfschmidt, Lena, Richard A. I. Bethlehem, Jakob Seidlitz, et al.. (2022). Sexually divergent development of depression-related brain networks during healthy human adolescence. Science Advances. 8(21). eabm7825–eabm7825. 16 indexed citations
9.
Morgan, Sarah E., Kelly Diederen, Petra E. Vértes, et al.. (2021). Natural Language Processing markers in first episode psychosis and people at clinical high-risk. Translational Psychiatry. 11(1). 630–630. 44 indexed citations
10.
Morgan, Sarah E., Jonathan Young, Ameera X. Patel, et al.. (2020). Functional Magnetic Resonance Imaging Connectivity Accurately Distinguishes Cases With Psychotic Disorders From Healthy Controls, Based on Cortical Features Associated With Brain Network Development. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 6(12). 1125–1134. 20 indexed citations
11.
Gifford, George, Nicolás Crossley, Sarah E. Morgan, et al.. (2020). Integrated metastate functional connectivity networks predict change in symptom severity in clinical high risk for psychosis. Human Brain Mapping. 42(2). 439–451. 2 indexed citations
12.
Spencer, Thomas, Dominic Oliver, Kelly Diederen, et al.. (2020). Lower speech connectedness linked to incidence of psychosis in people at clinical high risk. Schizophrenia Research. 228. 493–501. 38 indexed citations
14.
Gifford, George, Nicolás Crossley, Matthew J. Kempton, et al.. (2020). Resting state fMRI based multilayer network configuration in patients with schizophrenia. NeuroImage Clinical. 25. 102169–102169. 53 indexed citations
15.
Morgan, Sarah E., Jakob Seidlitz, Kirstie Whitaker, et al.. (2019). Cortical patterning of abnormal morphometric similarity in psychosis is associated with brain expression of schizophrenia-related genes. Proceedings of the National Academy of Sciences. 116(19). 9604–9609. 228 indexed citations breakdown →
16.
Morgan, Sarah E., et al.. (2019). A practical approach to a reliability-based stability evaluation of precariously balanced granite boulders. 53rd U.S. Rock Mechanics/Geomechanics Symposium. 2 indexed citations
17.
Morgan, Sarah E., Sophie Achard, Maite Termenón, Edward T. Bullmore, & Petra E. Vértes. (2018). Low-dimensional morphospace of topological motifs in human fMRI brain networks. Network Neuroscience. 2(2). 285–302. 13 indexed citations
18.
Morgan, Sarah E., Simon R. White, Edward T. Bullmore, & Petra E. Vértes. (2018). A Network Neuroscience Approach to Typical and Atypical Brain Development. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 3(9). 754–766. 42 indexed citations
19.
Bakulin, Artem A., Sarah E. Morgan, Mark W. B. Wilson, et al.. (2015). Real-time observation of multiexcitonic states in ultrafast singlet fission using coherent 2D electronic spectroscopy. Nature Chemistry. 8(1). 16–23. 302 indexed citations
20.
Morgan, Sarah E.. (1998). Qualitative error frequency on the rey fifteen item test in a clinical sample. Archives of Clinical Neuropsychology. 13(1). 90–90. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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